Summer 2026

Intern – Design Verification

AI/ML Engineer

Posted on 2/21/2026

Micron Technology

Micron Technology

10,001+ employees

Memory and storage semiconductor manufacturer

Compensation Overview

$46.51 - $55.82/hr

+ Bonus + Equity

San Jose, CA, USA

In Person

Category
AI & Machine Learning (2)
,
Required Skills
Verilog
Python
Data Science
Machine Learning
Requirements
  • Bachelor’s or Master’s Degree in Computer Engineering, Electrical Engineering, Computer Science, or related field
  • Background or coursework in Machine Learning, AI, Data Science, or Systems strongly preferred
  • Prior experience or academic projects involving hardware‑software interaction or AI applied to systems.
Responsibilities
  • Design, develop, and evaluate AI/ML models to analyze large‑scale simulation, regression, and debug data (logs, waveforms, coverage, assertion failures). Build ML‑based classification, clustering, or ranking models for failure triage, anomaly detection, and root‑cause identification. Develop agentic or workflow‑driven AI solutions that integrate with existing verification and debug pipelines. Create datasets and features from RTL, simulation artifacts, firmware traces, and verification metadata.
  • Implement and enhance Python‑based automation frameworks for data extraction, preprocessing, training, and inference. Integrate AI/ML solutions with existing DV tools, simulators, and infrastructure. Prototype dashboards, reports, or visualizations to communicate model outputs and insights to engineers.
  • Collaborate with Design, Verification, and Firmware teams to understand controller architecture, RTL behavior, and verification methodologies like UVM. Leverage knowledge of SystemVerilog, assertions, and simulation flows to contextualize AI/ML solutions (hands‑on RTL development is not the primary responsibility). Assist in improving verification efficiency through intelligent test prioritization, coverage analysis, or debug guidance.
  • Work multi-functionally with AI, DV, Design, and Infrastructure teams. Present results, insights, and prototypes to technical partners. Contribute to standardization and procedures for AI‑assisted silicon workflows.
Desired Qualifications
  • Strong foundation in machine learning, data science, or applied AI. Experience with Python and common ML/data libraries (e.g., NumPy, pandas, scikit‑learn, PyTorch, TensorFlow). Familiarity with model evaluation, dataset creation, and feature engineering.
  • Basic to intermediate understanding of digital design concepts (RTL, finite state machines, pipelines, memory controllers). Familiarity with SystemVerilog / Verilog or SVA or UVM at a conceptual or usage level (deep DV expertise not required). Exposure to simulation, logs, waveforms, or coverage data.
  • Proficiency in Python; experience with Perl, Tcl, or shell scripting. Experience building automation pipelines or tooling in an engineering environment.

Micron Technology designs and manufactures memory and storage products, including DRAM, NAND, and NOR flash. These products power devices across computing, networking, automotive, industrial, and mobile markets. The company sells to OEMs, distributors, and end users worldwide and funds ongoing research and development to meet evolving needs. Micron aims to provide scalable memory solutions and maintain an inclusive, growth‑oriented workplace for its employees.

Company Size

10,001+

Company Stage

IPO

Headquarters

Boise, Idaho

Founded

1978

Simplify Jobs

Simplify's Take

What believers are saying

  • HBM production is sold out through 2026, supporting revenue visibility.
  • The 245TB Micron 6600 ION expands exposure to AI and hyperscale storage.
  • A five-year customer contract signals longer-duration demand in a cyclical market.

What critics are saying

  • SK hynix, Samsung, and Micron intensify competition in HBM4 supply.
  • Micron's valuation leaves little room for any earnings disappointment.
  • New memory supply will eventually compress today’s elevated margins.

What makes Micron Technology unique

  • Micron leads in DRAM, NAND, and HBM for AI infrastructure.
  • Its 2026 HBM4 chips are qualified for Nvidia’s Vera Rubin platform.
  • Micron combines memory design with global manufacturing across Asia and North America.

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Your Connections

People at Micron Technology who can refer or advise you

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Disability Insurance

Parental Leave

Unlimited Paid Time Off

Paid Holidays

Flexible Work Hours

Growth & Insights and Company News

Headcount

6 month growth

-5%

1 year growth

-5%

2 year growth

-5%
Yahoo Finance
Apr 10th, 2026
Micron stock surges 230% since 2025 on AI demand and record $23.86B quarterly revenue

Micron Technology, a global leader in memory and storage solutions, saw its stock rise following ceasefire news, though shares remain 13% below their mid-March peak of $471. The company has surged over 230% since late 2025, significantly outperforming the S&P 500 Information Technology Index. Micron recently announced its exit from the consumer-facing Crucial brand to focus on high-growth AI infrastructure, including High Bandwidth Memory and low-power server modules for large language models. The company reported record second-quarter revenue of $23.86 billion, up 196% year-over-year, beating analyst expectations of $19.19 billion. Non-GAAP diluted earnings per share reached $12.20, surpassing the $8.79 consensus. The semiconductor company's performance is driven by rising memory prices and strong demand from the AI sector.

Gulf & Main Magazine
Apr 8th, 2026
SiMa.ai secures strategic investment from Micron to scale power-efficient physical AI solutions

SiMa.ai, a physical AI company, has secured a strategic investment from Micron Technology to scale production of high-performance, power-efficient AI solutions for edge applications. The investment strengthens collaboration between the companies on integrated compute and memory architectures for robotics, autonomous systems and industrial automation. SiMa.ai's Modalix MLSoC platform integrates Micron's LPDDR5X memory to deliver superior bandwidth efficiency and power optimisation. The company offers system-on-modules featuring Micron memory that fit into existing platforms for robotics, industrial automation and autonomous vehicles. The investment expands SiMa.ai's technology partnership ecosystem, which includes Arm, Synopsys, TSMC and Wind River. San Jose-based SiMa.ai focuses on scaling physical AI across multiple sectors including automotive, aerospace and healthcare.

Yahoo Finance
Apr 8th, 2026
Wall Street sees Palantir and Micron AI stocks soaring 35% and 50% despite recent dips

Palantir Technologies and Micron Technology have seen significant upward revisions to earnings estimates, creating a buying opportunity according to Wall Street analysts. Palantir's median target price of $200 per share implies 35% upside, whilst Micron's target of $550 suggests 50% potential gains. Palantir develops data integration and analytics platforms, particularly for government agencies, with its AI platform AIP distinguishing itself through a decision-making framework called an ontology. The company reported fourth-quarter revenue growth of 70% to $1.4 billion and achieved a record Rule of 40 score of 127%. Despite trading at 197 times adjusted earnings, analysts have raised current-year earnings forecasts by 30% to $1.31 per diluted share, implying 75% growth. The stock is down 28% from its high.

Yahoo Finance
Apr 8th, 2026
Micron stock drop overdone: Nvidia's AI chips still require HBM despite Google's TurboQuant

Micron Technology shares plunged in late March after Alphabet unveiled TurboQuant, software that compresses memory footprints in large language models during inference. The sell-off stemmed from concerns about Micron's relationship with Nvidia, as its high-bandwidth memory solutions power Nvidia's graphics processing units. However, the panic-selling appears premature. TurboQuant reduces working memory requirements during operation but doesn't shrink AI models themselves. Nvidia's GPUs remain dependent on external memory systems, including Micron's stacked dynamic random-access memory layers, for seamless data transfer between parameters and compute networks. Whilst TurboQuant minimises storage space whilst preserving model accuracy, it doesn't eliminate the need for rapid data transfer capabilities that Micron's chips provide. Nvidia's AI ecosystem continues to require massive amounts of specialised memory to process the terabytes needed for today's models.

Yahoo Finance
Apr 6th, 2026
Micron's revenue triples to $23.9B on mid-110% DRAM price surge, but growth faces sustainability concerns

Micron Technology's shares have more than quadrupled over the past year, but the growth story relies heavily on soaring prices rather than volume. In its latest quarter ending 26 February, revenue reached $23.9 billion, triple the prior year's $8.1 billion, whilst net income of $13.8 billion was nearly nine times higher. However, the revenue surge was primarily price-driven. DRAM revenue rose 207%, with average selling prices up mid-110% whilst shipments increased only mid-40%. NAND products showed similar patterns, with sales up 169% as prices more than doubled. The sustainability of this growth faces challenges as Micron will soon compare against these inflated figures. If supply catches up with demand and prices decline, growth could turn negative. Despite trading at only six times estimated future earnings, the stock has pulled back over 20% from its 52-week high.

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